← Research

Programme-specific status

One Health & outbreak intelligence

Networks, inference and surveillance

Conceptual research illustration

Linking models, data and surveillance

My current research includes computational approaches to One Health and outbreak preparedness. This work brings together networks, phylodynamic analysis, spatiotemporal modelling and AI methods across several programmes.

Within EUPAHW, I develop phylodynamic and network analyses linking livestock movements, wildlife and landscape data for work on hepatitis E across pigs, wild boar and humans. Within SSS-mod, I develop workflows for data preparation, recalibration, model outputs and interface reuse.

Architecture and implementation

For NextdAI, I co-develop AI architecture and data infrastructure for heterogeneous surveillance, anomaly detection, neurosymbolic characterisation, forecasting and decision support. NextdAI is in development; its status is distinct from the ongoing programme work.

The completed IMBIT programme provided the context for developing NetForge and HerdLink and for contributions to multi-route simulation and Bayesian inference. The programme entries below distinguish the role and status of each activity.

Contribution

Develops computational analyses and software workflows; co-develops the NextdAI architecture.

NextdAI

Integrated AI-Driven Early Detection System

In development

NWO KIC: Early Detection of (Emerging) Infectious Disease Outbreaks

Co-develop AI architecture and data infrastructure for heterogeneous surveillance, anomaly detection, neurosymbolic characterisation, forecasting and decision support.

EUPAHW

hepatitis E across pigs, wild boar and humans

Ongoing

European Partnership on Animal Health and Welfare · SOA26

Develop phylodynamic and network analyses linking livestock movements, wildlife and landscape data to investigate transmission pathways and inform One Health surveillance.

SSS-mod

Preparedness Package for Future Respiratory Outbreaks

Ongoing

ZonMw Implementatie-impuls COVID-19 programma

Develop data preparation, recalibration, model output and interface workflows supporting reuse of a setting-specific respiratory transmission model.

IMBIT

Intervention Modeling & Bayesian Inference of Transmission Routes for Early Pandemic Response

Completed

ZonMw Kennisprogramma Pandemische Paraatheid

Developed NetForge and HerdLink.nl. Contributed to a One Health programme coupling multi-route simulation with Bayesian inference of transmission routes across human, livestock, wildlife and environmental systems.

Contact

Get in touch

Working on an interesting question in biology, networks or AI? Let’s connect.

tianjian.qin@wur.nl